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Applied Financial Economics Programming
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Book Synopsis Applied Financial Economics -- Programming by : Chiu Yu Ko
Download or read book Applied Financial Economics -- Programming written by Chiu Yu Ko and published by Chiu Yu Ko. This book was released on with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about programming for trading in financial market. We cover Excel (Part 1), Excel VBA (Part 2) and R (Part3) are covered. We first cover Excel that requires minimum programming technique, it is desirable to start learning it first. Then Excel VBA is covered to provide a smooth transition to more complicated R programming. In particular, students first learn how to use Excel to generate a simple trading system and this builds the foundation for the more complicated trading system in R. Excel VBA is commonly used for computationally less demanding calculations in both academic and business world. Students are prepared to how to use them to do various financial analysis including fundamental analysis, technical analysis and time series analysis. In particular, students will learn how to write an analyst report, and create computer-aided technical trading system. R is widely used in computationally heavy financial and statistical computation. Students are prepared how to do data manipulation, conduct econometric analysis (regression, time series), plotting package, webscrapping, and financial analysis. In particular, students will learn how to backtest complex trading strategy and evaluate the performance.
Book Synopsis Applied Computational Economics and Finance by : Mario J. Miranda
Download or read book Applied Computational Economics and Finance written by Mario J. Miranda and published by MIT Press. This book was released on 2004-08-20 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a variety of computational methods used to solve dynamic problems in economics and finance. It emphasizes practical numerical methods rather than mathematical proofs and focuses on techniques that apply directly to economic analyses. The examples are drawn from a wide range of subspecialties of economics and finance, with particular emphasis on problems in agricultural and resource economics, macroeconomics, and finance. The book also provides an extensive Web-site library of computer utilities and demonstration programs. The book is divided into two parts. The first part develops basic numerical methods, including linear and nonlinear equation methods, complementarity methods, finite-dimensional optimization, numerical integration and differentiation, and function approximation. The second part presents methods for solving dynamic stochastic models in economics and finance, including dynamic programming, rational expectations, and arbitrage pricing models in discrete and continuous time. The book uses MATLAB to illustrate the algorithms and includes a utilities toolbox to help readers develop their own computational economics applications.
Book Synopsis A Model for Financial Programming by : Mr.Jan Giehm Mikkelsen
Download or read book A Model for Financial Programming written by Mr.Jan Giehm Mikkelsen and published by International Monetary Fund. This book was released on 1998-06-01 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper presents a simple simulation model that enables the formulation of a consistent growth-oriented, medium-term adjustment program. The applied version is available in Excel (using data for El Salvador) and can be used directly as a financial programming tool that provides a range of standard IMF performance criteria together with a complete set of consistent accounts for the real, monetary, public, and external sectors of the economy. Medium- and long-term growth considerations are incorporated through a neoclassical production function at the same time as monetary and fiscal policies are adjusted to satisfy the requirements for internal and external balance.
Book Synopsis Forward-Looking Decision Making by : Robert E. Hall
Download or read book Forward-Looking Decision Making written by Robert E. Hall and published by Princeton University Press. This book was released on 2010-02-08 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Individuals and families make key decisions that impact many aspects of financial stability and determine the future of the economy. These decisions involve balancing current sacrifice against future benefits. People have to decide how much to invest in health care, exercise, their diet, and insurance. They must decide how much debt to take on, and how much to save. And they make choices about jobs that determine employment and unemployment levels. Forward-Looking Decision Making is about modeling this individual or family-based decision making using an optimizing dynamic programming model. Robert Hall first reviews ideas about dynamic programs and introduces new ideas about numerical solutions and the representation of solved models as Markov processes. He surveys recent research on the parameters of preferences--the intertemporal elasticity of substitution, the Frisch elasticity of labor supply, and the Frisch cross-elasticity. He then examines dynamic programming models applied to health spending, long-term care insurance, employment, entrepreneurial risk-taking, and consumer debt. Linking theory with data and applying them to real-world problems, Forward-Looking Decision Making uses dynamic optimization programming models to shed light on individual behaviors and their economic implications.
Download or read book Applied Financial Economics written by and published by . This book was released on 2005 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Essential Readings in Applied Financial Economics by : Sharath Sury
Download or read book Essential Readings in Applied Financial Economics written by Sharath Sury and published by Hermes House. This book was released on 2014-12-31 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applied Mathematical Programming for Business and Economics by : Man-Keun Kim
Download or read book Applied Mathematical Programming for Business and Economics written by Man-Keun Kim and published by World Scientific Publishing Company. This book was released on 2025-01-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introductory/intermediate level textbook focuses on mathematical programming and its applications. It introduces basic linear programming -- the easiest form of mathematical programming with emphasis on economic interpretation of the model solution. Well-known applications of linear programming to problems in business and agriculture are presented.The text then extends into more advanced forms of mathematical programming including quadratic and integer programming. These models include the introduction of risk and uncertainty into decision-making and a class of models known as price endogenous models in which market equilibrium analyses can be modelled. Integer programming includes conditional decision-making model, machinery selection, and a class of models known as supply chain models.Supplements are provided to assist solution of the models using either GAMS or Excel, the two most widely used software packages for solution of mathematical programming models.
Book Synopsis The Oxford Handbook of Computational Economics and Finance by : Shu-Heng Chen
Download or read book The Oxford Handbook of Computational Economics and Finance written by Shu-Heng Chen and published by Oxford University Press. This book was released on 2018-01-12 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Oxford Handbook of Computational Economics and Finance provides a survey of both the foundations of and recent advances in the frontiers of analysis and action. It is both historically and interdisciplinarily rich and also tightly connected to the rise of digital society. It begins with the conventional view of computational economics, including recent algorithmic development in computing rational expectations, volatility, and general equilibrium. It then moves from traditional computing in economics and finance to recent developments in natural computing, including applications of nature-inspired intelligence, genetic programming, swarm intelligence, and fuzzy logic. Also examined are recent developments of network and agent-based computing in economics. How these approaches are applied is examined in chapters on such subjects as trading robots and automated markets. The last part deals with the epistemology of simulation in its trinity form with the integration of simulation, computation, and dynamics. Distinctive is the focus on natural computationalism and the examination of the implications of intelligent machines for the future of computational economics and finance. Not merely individual robots, but whole integrated systems are extending their "immigration" to the world of Homo sapiens, or symbiogenesis.
Book Synopsis Practical C++20 Financial Programming by : Carlos Oliveira
Download or read book Practical C++20 Financial Programming written by Carlos Oliveira and published by Apress. This book was released on 2021-04-13 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Apply C++ to programming problems in the financial industry using this hands-on book, updated for C++20. It explains those aspects of the language that are more frequently used in writing financial software, including the Standard Template Library (STL), templates, and various numerical libraries. Practical C++20 Financial Programming also describes many of the important problems in financial engineering that are part of the day-to-day work of financial programmers in large investment banks and hedge funds. The author has extensive experience in the New York City financial industry that is now distilled into this handy guide. Focus is on providing working solutions for common programming problems. Examples are plentiful and provide value in the form of ready-to-use solutions that you can immediately apply in your day-to-day work. You’ll see examples of matrix manipulations, curve fitting, histogram generation, numerical integration, and differential equation analysis, and you’ll learn how all these techniques can be applied to some of the most common areas of financial software development. These areas include performance price forecasting, optimizing investment portfolios, and more. The book style is quick and to-the-point, delivering a refreshing view of what one needs to master in order to thrive as a C++ programmer in the financial industry. What You Will Learn Cover aspects of C++ especially relevant to financial programming Write working solutions to commonly encountered problems in finance Design efficient, numerical classes for use in finance, as well as to use those classes provided by Boost and other libraries Who This Book Is For Those who are new to programming for financial applications using C++, but should have some previous experience with C++.
Book Synopsis Applied Quantitative Finance by : Mauricio Garita
Download or read book Applied Quantitative Finance written by Mauricio Garita and published by Springer Nature. This book was released on 2021-09-03 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides both conceptual knowledge of quantitative finance and a hands-on approach to using Python. It begins with a description of concepts prior to the application of Python with the purpose of understanding how to compute and interpret results. This book offers practical applications in the field of finance concerning Python, a language that is more and more relevant in the financial arena due to big data. This will lead to a better understanding of finance as it gives a descriptive process for students, academics and practitioners.
Book Synopsis Financial Theory with Python by : Yves Hilpisch
Download or read book Financial Theory with Python written by Yves Hilpisch and published by "O'Reilly Media, Inc.". This book was released on 2021-09-23 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, finance, mathematics, and programming are intrinsically linked. This book provides the relevant foundations of each discipline to give you the major tools you need to get started in the world of computational finance. Using an approach where mathematical concepts provide the common background against which financial ideas and programming techniques are learned, this practical guide teaches you the basics of financial economics. Written by the best-selling author of Python for Finance, Yves Hilpisch, Financial Theory with Python explains financial, mathematical, and Python programming concepts in an integrative manner so that the interdisciplinary concepts reinforce each other. Draw upon mathematics to learn the foundations of financial theory and Python programming Learn about financial theory, financial data modeling, and the use of Python for computational finance Leverage simple economic models to better understand basic notions of finance and Python programming concepts Use both static and dynamic financial modeling to address fundamental problems in finance, such as pricing, decision-making, equilibrium, and asset allocation Learn the basics of Python packages useful for financial modeling, such as NumPy, pandas, Matplotlib, and SymPy
Book Synopsis Corporate Finance for Business by : John-Paul Marney
Download or read book Corporate Finance for Business written by John-Paul Marney and published by Oxford University Press, USA. This book was released on 2011-03-10 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a pedagogically innovative and interactive corporate finance textbook which, as well as offering an in-depth examination of the key areas of the corporate finance syllabus, incorporates interesting, topical examples and cases, bringing real life to bear on the concepts presented, and creating a lively, engaging learning tool.
Book Synopsis Applications of Evolutionary Computation by : Cecilia Di Chio
Download or read book Applications of Evolutionary Computation written by Cecilia Di Chio and published by Springer Science & Business Media. This book was released on 2010-03-25 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Workshops on the Applications of Evolutionary Computation, EvoApplications 2010, held in Istanbul, Turkey, in April 2010 colocated with the Evo* 2010 events. Thanks to the large number of submissions received, the proceedings for EvoApplications 2010 are divided across two volumes (LNCS 6024 and 6025). The present volume contains contributions for EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoMUSART, and EvoTRANSLOG. The 47 revised full papers presented were carefully reviewed and selected from a total of 86 submissions. This volume presents a careful selection of relevant EC examples combined with a thorough examination of the techniques used in EC. The papers in the volume illustrate the current state of the art in the application of EC and should help and inspire researchers and professionals to develop efficient EC methods for design and problem solving.
Book Synopsis Evolutionary Computation in Economics and Finance by : Shu-Heng Chen
Download or read book Evolutionary Computation in Economics and Finance written by Shu-Heng Chen and published by Physica. This book was released on 2013-11-11 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: After a decade's development, evolutionary computation (EC) proves to be a powerful tool kit for economic analysis. While the demand for this equipment is increasing, there is no volume exclusively written for economists. This volume for the first time helps economists to get a quick grasp on how EC may support their research. A comprehensive coverage of the subject is given, that includes the following three areas: game theory, agent-based economic modelling and financial engineering. Twenty leading scholars from each of these areas contribute a chapter to the volume. The reader will find himself treading the path of the history of this research area, from the fledgling stage to the burgeoning era. The results on games, labour markets, pollution control, institution and productivity, financial markets, trading systems design and derivative pricing, are new and interesting for different target groups. The book also includes informations on web sites, conferences, and computer software.
Book Synopsis Applied Econometrics with R by : Christian Kleiber
Download or read book Applied Econometrics with R written by Christian Kleiber and published by Springer Science & Business Media. This book was released on 2008-12-10 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Bell Laboratories since the late 1970s. The R project was initiated by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand, in the early 1990s, and has been developed by an international team since mid-1997. Historically, econometricians have favored other computing environments, some of which have fallen by the wayside, and also a variety of packages with canned routines. We believe that R has great potential in econometrics, both for research and for teaching. There are at least three reasons for this: (1) R is mostly platform independent and runs on Microsoft Windows, the Mac family of operating systems, and various ?avors of Unix/Linux, and also on some more exotic platforms. (2) R is free software that can be downloaded and installed at no cost from a family of mirror sites around the globe, the Comprehensive R Archive Network (CRAN); hence students can easily install it on their own machines. (3) R is open-source software, so that the full source code is available and can be inspected to understand what it really does, learn from it, and modify and extend it. We also like to think that platform independence and the open-source philosophy make R an ideal environment for reproducible econometric research.
Book Synopsis Practical C++ Financial Programming by : Carlos Oliveira
Download or read book Practical C++ Financial Programming written by Carlos Oliveira and published by Apress. This book was released on 2015-03-12 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical C++ Financial Programming is a hands-on book for programmers wanting to apply C++ to programming problems in the financial industry. The book explains those aspects of the language that are more frequently used in writing financial software, including the STL, templates, and various numerical libraries. The book also describes many of the important problems in financial engineering that are part of the day-to-day work of financial programmers in large investment banks and hedge funds. The author has extensive experience in the New York City financial industry that is now distilled into this handy guide. Focus is on providing working solutions for common programming problems. Examples are plentiful and provide value in the form of ready-to-use solutions that you can immediately apply in your day-to-day work. You’ll learn to design efficient, numerical classes for use in finance, as well as to use those classes provided by Boost and other libraries. You’ll see examples of matrix manipulations, curve fitting, histogram generation, numerical integration, and differential equation analysis, and you’ll learn how all these techniques can be applied to some of the most common areas of financial software development. These areas include performance price forecasting, optimizing investment portfolios, and more. The book style is quick and to-the-point, delivering a refreshing view of what one needs to master in order to thrive as a C++ programmer in the financial industry. Covers aspects of C++ especially relevant to financial programming. Provides working solutions to commonly-encountered problems in finance. Delivers in a refreshing and easy style with a strong focus on the practical.
Book Synopsis EVOLVE- A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation by : Emilia Tantar
Download or read book EVOLVE- A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation written by Emilia Tantar and published by Springer. This book was released on 2012-09-14 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to provide a strong theoretical support for understanding and analyzing the behavior of evolutionary algorithms, as well as for creating a bridge between probability, set-oriented numerics and evolutionary computation. The volume encloses a collection of contributions that were presented at the EVOLVE 2011 international workshop, held in Luxembourg, May 25-27, 2011, coming from invited speakers and also from selected regular submissions. The aim of EVOLVE is to unify the perspectives offered by probability, set oriented numerics and evolutionary computation. EVOLVE focuses on challenging aspects that arise at the passage from theory to new paradigms and practice, elaborating on the foundations of evolutionary algorithms and theory-inspired methods merged with cutting-edge techniques that ensure performance guarantee factors. EVOLVE is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. The chapters enclose challenging theoretical findings, concrete optimization problems as well as new perspectives. By gathering contributions from researchers with different backgrounds, the book is expected to set the basis for a unified view and vocabulary where theoretical advancements may echo in different domains.
